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Exploratory-Data-Analysis

Complete EDA on ZOMATO DATASET and Applying Various Machine Learning Regression Model on it to maximize thr accuracy

Breakdown of this notebook: Loading the dataset: Load the data and import the libraries.

Data Cleaning: Deleting redundant columns. Renaming the columns. Dropping duplicates. Cleaning individual columns. Remove the NaN values from the dataset

Data Visualization: Using plots to find relations between the features. Restaurants delivering Online or not Restaurants allowing table booking or not Table booking Rate vs Rate Best Location Relation between Location and Rating Restaurant Type Gaussian Rest type and Rating Types of Services Relation between Type and Rating Cost of Restuarant No. of restaurants in a Location Restaurant type Most famous restaurant chains in Bengaluru

Regression Analysis

Linear Regression Decision Tree Regression Random Forest Regression

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Complete EDA on ZOMATO DATASET

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